Taught course

Applied Artificial Intelligence

Institution
Cranfield University · Aerospace
Qualifications
MSc

Entry requirements

A first or second class UK Honours degree (or equivalent), in Aeronautics/ Aerospace Engineering, Mechanical Engineering, Electrical/ Electronic Engineering, Pure mathematics, Computer Science, Software Engineering, Mechatronic Engineering, Information Technology, or be applying as part of a recognised double-degree programme with their home EU institution. Applications from candidates with lesser qualifications but with considerable relevant work experience will be considered.

Applicants who do not fulfil the standard entry requirements can apply for the Pre-Masters programme, successful completion of which will qualify them for entry to this course for a second year of study.

Months of entry

October

Course content

Artificial Intelligence technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential of AI. With a fundamental interest is AI, machine vision and computer sciences you will have the desire to apply this knowledge to solve real world engineering problems.

Taught through a unique combination of theoretical and practical based sessions you will cover subjects in logic and reasoning, data analytics, deep learning, agent architectures, alongside the broader systems engineering and ethical considerations required for implementation in real-world systems.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification

Course contact details

Name
Admissions
Email
study@cranfield.ac.uk
Phone
+44 (0)1234 758083